Original Articles
Comparison of single spot urinary albumin-creatinine ratio with 24-hour urinary protein excretion in women with preeclampsia | |
Dr. Deepika Sharma, Dr. Indu Kaul, Dr. B.R. Bhagat | |
Background: Preeclampsia is a pregnancy-specific disorder that affects both the mother and the fetus, characterized by hypertension and proteinuria after 20 weeks of gestation.The aim of this study is to investigate the correlation between single spot urinary ACR and 24-hour urinary protein excretion in women with preeclampsia. Methods: The current prospective study was conducted on pregnant women who were diagnosed with preeclampsia and were attending the Outpatient department or admitted in the Department of Obstetrics and Gynaecology at SMGS Hospital, Government Medical College, Jammu. A total of 100 patients as per inclusion criteria of the study were included in the study after an approval was obtained from the Institute Ethics Committee. Results: The study conducted on a sample of 100 pregnant women revealed that the prevalence of preeclampsia was high, with 87% of the participants having mild preeclampsia and 13% having severe preeclampsia. Furthermore, a majority of the patients exhibited normal serum creatinine levels (94%) and elevated serum urea levels (95%), and urine for albumin level was 1+ in 81% of the cases. Additionally, the study found that patients with severe preeclampsia had significantly higher mean levels of albumin, 24-hour protein excretion, and spot urinary albumin creatinine ratio than those with mild preeclampsia. Lastly, the study demonstrated a positive linear relationship between ACR and 24-hour urinary protein excretion. Conclusion: Majority were young, primigravida, and had no history of abortion or issues. Patients with severe preeclampsia had higher blood pressure and significantly higher levels of albumin, 24-hour protein excretion, and spot urinary albumin creatinine ratio. There was a strong linear correlation between ACR and 24-hour urinary protein excretion. These findings can aid healthcare providers in identifying high-risk patients and tailoring treatment plans to improve outcomes. |
|
Abstract View | Download PDF | Current Issue |
IJLBPR
322 Parlount Road Slough Berkshire SL3 8AX, UK
ijlbpr@gmail.com
© IJLBPR. All Rights Reserved.